Game-Playing-Intelligent-Agent
PublicImplemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.
astar-algorithmbidirectional-searchdijkstramarkov-decision-processesmdpminimaxpac-man-gamepath-planningq-learningreinforcement-learning
Creat：2023-11-11T01:20:44
Update：2024-10-30T15:57:55
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